Computer Science – Performance
Scientific paper
Sep 2006
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2006head....9.1864m&link_type=abstract
American Astronomical Society, HEAD meeting #9, #18.64; Bulletin of the American Astronomical Society, Vol. 38, p.392
Computer Science
Performance
Scientific paper
The Burst Alert Telescope (BAT) onboard Swift has detected and located about 160 gamma-ray bursts (GRBs) in its first twenty months of operation. BAT employs two triggering systems to find GRBs: image triggering, which looks for a new point source in the field of view, and rate triggering, which looks for a significant increase in the observed counts. The image triggering system looks at 1 minute, 5 minute, and full pointing accumulations of counts in the detector plane in the energy range of 15-50 keV, with about 50 evaluations per pointing (about 40 minutes). The rate triggering system looks through 13 different time scales (from 4ms to 32s), 4 overlapping energy bins (covering 15-350 keV), 9 regions of the detector plane (from the full plane to individual quarters), and two background sampling models to search for GRBs. It evaluates 27000 trigger criteria in a second, for close to 1000 criteria. The image triggering system looks at 1, 5, and 40 minute accumulations of counts in the detector plane in the energy range of 15-50 keV. Both triggering systems are working very well with the settings from before launch and after we turned on BAT. However, we now have more than a year and a half of data to evaluate these triggering systems and tweak them for optimal performance, as well as lessons learned from these triggering systems.
BAT Team
Fenimore Edward E.
McLean Kassandra M.
Palmer David M.
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